Abstract: Systems and methods may include a lift drone and a carrier drone to convey a payload. The lift drone may vertically lift the payload, alone or with the carrier drone, to a transfer location. The carrier drone may receive control of the payload at the transfer location, such as by receiving physical transfer of the payload, taking over conveyance of the payload from the lift drone, or the like. The lift drone may remain coupled with the payload or the carrier drone or may decouple after transfer.

Abstract: A method includes: a) producing initial scheduling plans based on requests related to tasks to be performed within a time period by a remote sensing satellite; wherein each initial scheduling plan schedules respective tasks, which do not conflict with each other in time and in using satellite resources; and each task is scheduled in at least one of the initial scheduling plans; b) applying a genetic-algorithm-based processing to the initial scheduling plans to produce a genetic-algorithm-based scheduling plan which is for mission objectives, and complies with constraints related to the satellite resources, to the tasks, and to the time period; and c) applying a simulated-annealing-based processing to the genetic-algorithm-based scheduling plan to produce a simulated-annealing-based scheduling plan that fits the mission objectives, complies with the constraints, and in which a larger number of tasks is scheduled than in the genetic-algorithm-based scheduling plan.

Abstract: In one aspect, a device includes a processor and storage accessible to the processor. The storage includes instructions executable by the processor to access data associated with at least one road and, based on the data, identify a first route to a destination as involving less manual driving by a human driver than a second route to the destination. The instructions are also executable by the processor to output directions for an autonomous vehicle to follow the first route to the destination.

Abstract: Systems and methods are directed to monitoring the status of a vehicle controller or other autonomy system during operation of an autonomous vehicle. In one example, a system includes one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining a message from a vehicle controller. The operations further include, based at least partly on the message, determining whether a failure mode exists. The operations further include providing, in response to determining the failure mode exists, one or more commands to implement a safety measure response for the autonomous vehicle.

Abstract: Systems and methods are provided for analyzing traffic signal lights in order to control an autonomous vehicle. A method includes receiving an image from a camera regarding at least one traffic signal light and receiving data related to the traffic signal light. Neural networks determine location and characteristics of the traffic signal light.

Abstract: In a given computing node comprising at least one processor operatively coupled to a memory and implemented in a given vehicle, the method comprises obtaining at the given computing node data from at least one of: (i) one or more sensors on the given vehicle; (ii) one or more computing nodes associated with one or more other vehicles via at least one vehicle-to-vehicle communication protocol; and (iii) one or more data sources along the path of the given vehicle. The given computing node utilizes at least a portion of the obtained data to compute a risk assessment for the given vehicle with respect to an operational safety level of a proposed vehicle action. The given computing node initiates or prevents the proposed vehicle action for the given vehicle based on the computed risk assessment.

Abstract: The invention relates to a system and method for navigating an autonomous driving vehicle (ADV) that utilizes an-onboard computer and/or one or more ADV control system nodes in an ADV network platform. The on-board computer receives physiological and ADV occupant identification sensor data concerning one or more occupants occupying an ADV, sensor data concerning the items being transported within the ADV, and information concerning the ADV itself to aid border security agencies in protecting their respective borders and territories (e.g., international borders, security zone borders, geographical borders, etc.). The relevant border agency can receive certain information over a network concerning one or more ADVs and make a determination if a heightened security screening should be requested.

Abstract: A vehicle control system includes: an automated driving control part that performs automated driving in which at least one of acceleration/deceleration and steering of a vehicle is automatically controlled; a driving operation element that receives an operation of an occupant with respect to acceleration/deceleration and steering of the vehicle; an operation element state change part that makes the driving operation element disabled when the automated driving by the automated driving control part is performed; and an alternative operation reception part that receives an operation which is different from the operation with respect to the driving operation element by the occupant when the driving operation element is disabled by the operation element state change part, wherein the automated driving control part controls at least one of acceleration/deceleration and steering of the vehicle based on the operation by the alternative operation reception part.

Abstract: A system for in-vehicle network intrusion detection includes a microcontroller having first and second cores and memory. The first core may be configured to obtain one or more network messages from one or more communication buses of a vehicle describing one or more events associated with the vehicle. The memory may be configured to store the one or more network messages obtained by the first core. The second core may be configured to: (i) read the one or more network messages from the memory; (ii) detect whether at least some of the one or more events constitute an anomaly based on predefined rules; (iii) generate one or more resident incident logs including metadata associated with one or more detected anomalous events based on the detected anomaly event data; and (iv) generate one or more transmitted incident logs based on the one or more resident incident logs.

Abstract: An inspection drone exclusively paired to a delivery vehicle identifies targeted inspection points corresponding to respective parts of the vehicle. A sensor on the drone detects inspection information relative to targeted inspection points once the drone has aerially moved proximate to each targeted inspection point. The drone automatically identifies a potential adverse inspection condition for a targeted inspection point based upon the inspection information. The drone responsively transmits an interactive intervention request to a display-enabled transceiver, where the request identifies the potential adverse inspection condition, indicates a need for a verified inspection of that targeted inspection point, and requests feedback regarding that targeted inspection point.

Abstract: Systems and methods are disclosed for guidance, control, and testing of autonomous vehicle features and a driver's response thereto. The system may activate a plurality of autonomous driving features of an autonomous vehicle. In response to a determination to initiate a driving test, the system may generate an indication to a driver of the autonomous vehicle of the initiation of the driving test and may deactivate or adjust parameters of one or more of the plurality of autonomous driving features. The system may receive, from one or more sensors of the autonomous vehicle or one or more sensors of a mobile computing device within the autonomous vehicle, driving data associated with the autonomous vehicle. Based on the driving data associated with the autonomous vehicle, the system may determine the driver's response time and actions taken by the driver during the driving test.

Abstract: Aspects of the disclosure relate generally to controlling an autonomous vehicle in a variety of unique circumstances. These include adapting control strategies of the vehicle based on discrepancies between map data and sensor data obtained by the vehicle. These further include adapting position and routing strategies for the vehicle based on changes in the environment and traffic conditions. Other aspects of the disclosure relate to using vehicular sensor data to update hazard information on a centralized map database. Other aspects of the disclosure relate to using sensors independent of the vehicle to compensate for blind spots in the field of view of the vehicular sensors. Other aspects of the disclosure involve communication with other vehicles to indicate that the autonomous vehicle is not under human control, or to give signals to other vehicles about the intended behavior of the autonomous vehicle.

Abstract: An unmanned aerial vehicle (UAV) includes one or more sources of propulsion coupled to provide propulsion to the UAV, and a power source coupled to power the one or more sources of propulsion. A communication system is coupled to communicate with an external device, and a controller is coupled to the communication system, the power source, and the one or more sources of propulsion. The controller includes logic that when executed by the controller causes the UAV to perform operations, including: measuring a status of the UAV; sending the status of the UAV to the external device; receiving movement instructions from the external device; and engaging the one or more sources of propulsion to move the UAV from a first location to a second location within a storage facility.

Abstract: A method to control a velocity of a vehicle includes: extracting an end point of a road region from an input image; measuring a visibility distance between an end point location corresponding to the end point and a location of a vehicle; and controlling the velocity of the vehicle based on the measured visibility distance.

Abstract: Embodiments of the present invention provide a method, computer program product, and a computer system for automated deployment of autonomous devices performing localized environment altering actions. A processor detects a set of weather conditions for a region, wherein the set of weather conditions includes at least temperature. A processor predicts whether the temperature will influence bodily functions of at least one organism of a plurality of organisms in the region. A processor dispatches one or more autonomous devices in response to predicting that the temperature will influence the bodily functions of the at least one organism of the plurality of organisms in the region.

Abstract: A lawn mowing robot includes a body, a driving unit driven such that the body moves within an operation region, and a controller setting first information related to at least one reference line using coordinate information corresponding to vertices included in a polygon forming an operation region and setting second information related to a plurality of regions such that the operation region is divided into the plurality of regions using the first information, wherein the controller controls the driving unit such that the body moves according to a preset movement pattern by the plurality of divided regions using the second information.

Abstract: In a driving support device, an image output unit outputs image information including a vehicle object representing a vehicle and a sign object representing a sign, to a display unit. An operation signal input unit receives an operation signal of a user for moving, in the image displayed on the display unit, the vehicle object to the position of the sign object or for moving the sign object to the position of the vehicle object. A command output unit outputs a command corresponding to the display content in the sign object when the operation signal is received, to an automatic driving control unit that controls automatic driving.

Abstract: Methods and apparatus for assessing coordinate data are disclosed. An example apparatus includes a processor to receive coordinate data relating to a desired path and task of a vehicle. The processor of the example apparatus to determine if the coordinate data satisfies a threshold. The processor of the example apparatus to determine if the coordinate data is compatible with a positioning system of the vehicle. The processor of the example apparatus to authorize operation of the vehicle to traverse the desired path based on the coordinate data.

Abstract: The method for displaying a starting point (1) and several destination locations (3) on a screen comprises the following steps: selecting a starting point (1) on a location-based representation, and representing the starting point as such on the screen; selecting several destination locations (3) and representing them as destination symbols in the location-based representation on the screen, setting a selection criterion for reaching the destination locations (3) starting from the starting point (1), calculating the position of the destination locations (3) in a time-based representation in accordance with the distance from the starting point and taking into account the selection criterion, displaying the destination locations (3) on the screen as destination symbols in the time-based representation, wherein the location-based representation still remains visible on the screen, the time-based representation being centered around the starting symbol, and the distance of the destination symbols in the time-b

Abstract: Embodiments of the disclosed technology comprise methods and/or devices for performing measurements and/or manipulations of the collective state of a set of Majorana quasiparticles/Majorana zero modes (MZMs). Example methods/devices utilize the shift of the combined energy levels due to coupling multiple quantum systems (e.g., in a Stark-effect-like fashion). The example methods can be used for performing measurements of the collective topological charge or fermion parity of a group of MZMs (e.g., a pair of MZMs or a group of 4 MZMs). The example devices can be utilized in any system supporting MZMs.

Abstract: A method for creating a traffic scenario in a virtual driving environment is provided. The method includes steps of: a traffic scenario-generating device, (a) on condition that driving data have been acquired which are created using previous traffic data corresponding to discrete traffic data extracted by a vision-based ADAS from a past driving video and detailed traffic data corresponding to sequential traffic data from sensors of data-collecting vehicles in a real driving environment, inputting the driving data into a scene analyzer to extract driving environment information and into a vehicle information extractor to extract vehicle status information on an ego vehicle, and generating sequential traffic logs according to a driving sequence; and (b) inputting the sequential traffic logs into a scenario augmentation network to augment the sequential traffic logs using critical events, and generate the traffic scenario, verifying the traffic scenario, and mapping the traffic scenario onto a traffic simulator.

Abstract: Aspects of the present disclosure relate to context aware stopping of a vehicle without a driver. As an example, after a passenger has entered the vehicle, the vehicle is maneuvered by one or more processors in an autonomous driving mode towards a destination location along a route. The route is divided into two or more stages. A signal is received by the one or more processors. The signal indicates that the passenger is requesting that the vehicle stop or pull over. In response to the signal, the one or more processors determine a current stage of the route based on a current distance of the vehicle from a pickup location where the passenger entered the vehicle or a current distance of the vehicle from the destination location. The one or more processors then stop the vehicle in accordance with the determined current stage.

Abstract: Delivery area guidance may be provided to an unmanned aerial vehicle (UAV) delivering a package to a customer. For example, a UAV may be programmed to fly to a delivery area. When the UAV approaches the delivery area, the UAV may send a signal that it has a package for the customer. A delivery area guidance (DAG) device associated with the customer may receive the signal and project a visible landing marker to guide the UAV to a designated delivery location. The DAG device may monitor motion near the designated delivery location, indicate existence of obstacles, and/or notify inhabitance of the approach of the UAV and/or receipt of the package.

Abstract: This disclosure describes a distributed automated mobile vehicle (“automated mobile vehicle”) system for autonomously delivering orders of items to various delivery locations and/or autonomously returning items to a return location. In some implementations, each user may own or be assigned their own automated mobile vehicle that is associated with the user and an automated mobile vehicle control system maintained by the user. When the user orders an item, the user owned or controlled automated mobile vehicle navigates to a materials handling facility, retrieves the ordered item and delivers it to the user.

Abstract: A method to park a vehicle in a parking space using a parking assistant is provided. The course of a parking maneuver is dynamically adapted to boundaries of the parking space that are changed during the parking maneuver by determining whether and in which direction the boundaries of the parking space change during the parking maneuver. An originally determined first trajectory is replaced by a second trajectory that is adapted to changed boundaries of the parking space and along which the parking maneuver is continued.

Abstract: The vehicle running control apparatus (driving support ECU 10) determines whether or not the driver of the vehicle is in an abnormal state in which the driver has lost an ability to drive the vehicle, and stops the vehicle by reducing the vehicle speed to 0 after an abnormality determination time point when the driver is determined to be in the abnormal state. The vehicle running control apparatus predicts a position at which the vehicle stops when the vehicle speed is reduced at a predetermined deceleration, when the predicted stop position is not within a stop prohibited area (for example, a curved road and a section within a predetermined distance from a point at which the road changes from the curved road to the straight road), it decelerates the vehicle with the deceleration and stops the vehicle. In contrast, the vehicle running control apparatus makes the vehicle ran with a constant speed when the predicted stop position is within the stop prohibited area.

Abstract: A method for operating a motor vehicle driving driverlessly within a parking facility includes determining, for a predefined target trajectory to be traversed by the motor vehicle within the parking facility, that point in the target trajectory until which safe driverless driving of the motor vehicle is possible; and driverlessly driving the motor vehicle, based on the predefined target trajectory, out to the determined point.

Abstract: A mobile c-arm X-ray apparatus is described. The mobile X-ray apparatus includes an electrically operated X-ray source. The mobile C-arm X-ray apparatus also includes an electrical energy storage device having a high current-capable accumulator. The electrical energy storage device includes a first electrical terminal electrically connected to the electrically operated X-ray source and a second electrical terminal used by a system energy supply. A method for operating the mobile X-ray apparatus is also described.

Abstract: A system for controlling a motion of a vehicle from an initial state to a target state includes a path planner to determine a discontinuous curvature path connecting the initial state with the target state by a sequential composition of driving patterns. The discontinuous curvature path is collision-free within a tolerance envelope centered on the discontinuous curvature path. The system further includes a path transformer to locate and replace at least one treatable primitive in the discontinuous curvature path with a corresponding continuous curvature segment to form a modified path remaining within the tolerance envelope. Each treatable primitive is a predetermined pattern of elementary paths. The system further includes a controller to control the motion of the vehicle according to the modified path.

Abstract: An approach is disclosed that locates available parking spaces from a set of parking spaces, such as in a parking lot. The approach retrieves a clearance distance that needed between a parked vehicle parked in an adjacent parking space to the identified parking space. After retrieving the needed clearance distance, the system transmit an instruction to a self-driving vehicle to park in the identified parking space and leave the clearance distance between the self-driving vehicle and the parked vehicle.

Abstract: A method of monitoring a health condition of a driver of a vehicle includes activating a wearable device that is configured to provide a driver health signal and receiving the driver health signal at a controller. The method outputs for display a warning responsive to the driver health signal being indicative of at least one of an impending driver health event or current driver health event.

Abstract: Methods, apparatuses, and systems of route planning for package pickup and delivery includes: receiving predetermined locations in a geographic region and data representing a predetermined route connecting the predetermined locations; determining unit areas in the geographic region based on sequential nearness of the predetermined locations along the predetermined route, the unit areas including a first unit area and a second unit area, and the unit areas being configured such that all locations in the first unit area are to be visited before visiting locations of the second unit area; generating delivery patterns for determining a route connecting at least one of the unit areas, each delivery pattern including at least one of the unit areas associated with a visiting sequence; when receiving task data including target locations to visit, determining a target route using the delivery patterns and the target data; and sending the target route to a mobile apparatus.

Abstract: A robotic mowing system that includes a station and a robotic mower. The robotic mower has a controller and a memorizer, the memorizer stores a working procedure, and after receiving a start command input by a user, the controller executes the working procedure, so as to control the robotic mower to automatically and repeatedly mow and return to the station to be charged until the controller receives a stop command. In this way, the user does not need to input working parameters, and costs are relatively low.

Abstract: An example operation may include one or more of receiving a request to authorize an in-flight transfer of a parcel between a source unmanned aerial vehicle (UAV) and a target UAV, authenticating, via a blockchain, an identity of the source UAV and an identity of the target UAV based on one or more predefined keys included in the request, and in response to the blockchain authentication being successful, initiating delivery of the parcel from the source UAV to the target UAV while one or more of the source UAV and the target UAV are in-flight.

Abstract: The present application provides a control method and device for a mobile robot, a mobile robot. The present application through the technical solution that identifying images captured by a visual sensing device and when determining there is a human body in a spatial range taken by the visual sensing device, determining a pose instruction provided by the human body according to at least one image of the human body, and controlling the robot to perform a corresponding operation based on the pose instruction, the pose instruction of the human can be accurately identified, and accuracy and flexibility in executing instruction by the robot can be improved. Meanwhile, the robot can be controlled in real time according to the pose instruction, such that interactivity between the robot and a user can be improved, humanized operation of the robot can be improved, and user experience can be enhanced.

Abstract: An efficiency autonomous driving strategy which accounts for the propulsion system efficiency and energy consumption during vehicle motion planning function required for autonomous driving. Specifically, a control algorithm calculates the required energy and total efficiency for various possible vehicle path/motion plans being considered by the autonomous driving (AD) controller. Given at least one or more desired vehicle motion plans, the propulsion system selects the vehicle motion path with the highest efficiency and least energy consumption. The control algorithm accounts for the current vehicle motion (speed/acceleration, etc.), and future vehicle motion requirements for a given vehicle path plan. The control algorithm calculates the total vehicle energy required (current time up to future time) for the proposed vehicle motion plans, then recommends the most efficient vehicle motion plan to the AD controller such that total energy consumption is reduced.

Abstract: The present application discloses systems and methods for performing location-based actions. The methods may include obtaining, by an electronic device, location information associated with the electronic device with respect to a reference location. The methods may further include determining, by the electronic device, whether the location information changes from a first status to a second status. The methods may further include performing, by the electronic device, a predetermined action upon determining that the location information changes from the first status to the second status. The location information may relate to a speed, a direction, an acceleration, a geographic location of the electronic device, and/or a distance between the electronic device and the reference location.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. A computing device included in a vehicle can determine estimated steering velocities for a steering system of a vehicle as a function of respective steering angles and time steps and determine a path for the vehicle to travel based on the estimated steering velocities.

Abstract: An autonomous driving device includes a route acquisition unit, a vehicle position determination unit, a stop section estimation unit, an intention confirmation unit, a reward provision unit configured to provide reward for getting off the vehicle in a case where the intention confirmation unit confirms that the occupant has the intention to get off the vehicle, and a traveling controller configured to perform an autonomous driving control and to stop a vehicle before the vehicle arrives at an autonomous driving stop section in a case where the intention confirmation unit confirms that an occupant has the intention to get off the vehicle while the autonomous driving control is being performed.

Abstract: A method of operating a robotic cleaning device over a surface to be cleaned. The method includes: registering roadmap nodes at intervals on the surface during cleaning, the roadmap nodes including positional information; and linking the roadmap nodes to form roadmap links in a roadmap graph, if the robotic cleaning device is driving directly from a previously registered roadmap node to a currently registered roadmap node. The roadmap links in the roadmap graph facilitate navigation of the robotic cleaning device.

Abstract: There is disclosed herein methods of operating a computing device, such as a server, to associate a hazard with a zone of a digital map. The method comprises the computing device: receiving data representative of a location of a hazard matched to a location on a digital map accessible to said computing device; and determining if the repository comprises data representative of a zone corresponding to a region of a digital map containing the location of the hazard, to which the hazard should be associated. If the repository does not comprise data representative of such a zone, the method further comprises generating data representative of a zone corresponding to a region of a digital map containing the location of the hazard, and storing the generated data representative of said zone in the data repository. There is also disclosed herein computing devices and software for carrying out these methods.

Abstract: An unmanned aerial vehicle for aerial transportation of delivery items. The unmanned aerial vehicle includes an attachment device to fasten and unfasten one or more delivery items to the unmanned aerial vehicle, a motor to aerially transport the one or more delivery items along a delivery route, a sensor mounted on the unmanned aerial vehicle to detect at least one environmental variable during the delivery route, and an alert system to generate a status associated with the unmanned aerial vehicle along the delivery route to an observer when the environmental variable exceeds a predetermined threshold.

Abstract: Systems and methods for managing communication of a plurality of unmanned aerial vehicles. The present invention can include a central server and a plurality of unmanned aerial vehicles including a master and secondary unmanned aerial vehicle. The master and secondary unmanned aerial vehicles can communicate with the central server and each other. The master and secondary unmanned aerial vehicle can deliver packages to different locations. In doing so, the master and secondary unmanned aerial vehicle can form a swarm that at least partially share a route for delivery of the packages to their destinations. The master unmanned aerial vehicle can be configured to: (i) receive delivery information for the master and secondary unmanned aerial vehicles, (ii) monitor communication between the swarm, and (iii) determine if the swarms encounters a risk.

Abstract: In a driving assist apparatus for assisting a lane change from an own lane to a target lane, when a post-smoothing probability obtained by smoothing a time course change in “a lane presence possibility which increases with the possibility that a target is another vehicle traveling in the target lane (target lane other vehicle)” is greater than a threshold value, that target can be extracted as the target lane other vehicle. The post-smoothing probability requires some length of time to coincide with the lane presence possibility. Therefore, if after completion of a lane change, another lane change is immediately started in the same direction, there arises a possibility that the target lane other vehicle cannot be extracted properly. Therefore, in the case where after completion of a lane change, another lane change is started in the same direction, the lane change is not started until a re-change prohibition time elapses.

Abstract: In one embodiment, it is determined that an ADV is about to decelerate based on perception of a driving environment surrounding the ADV. In addition, if there is another vehicle that is following the ADV, a distance between the ADV and the following vehicle, as well as the speed of the following vehicle, is determined. A deceleration rate that is required for the following vehicle to avoid a collision with the ADV is determined based on the distance between the ADV and the following vehicle and the speed of the following vehicle. If the deceleration rate is greater than a predetermined threshold, a brake light and an emergency light of the ADV are turned on to warn the following vehicle that the ADV is about to rapidly decelerate as it is treated as an emergency situation.

Abstract: Systems and methods for performing a parallel parking maneuver of a host vehicle between a first object and a second object. In one embodiment, the method includes detecting a parking mode and determining a parking space size upon detecting the parking mode. The method also includes selecting a left rear wheel of the host vehicle or a right rear wheel of the host vehicle. The method further includes applying a first braking force, sufficient to lock-up the selected rear wheel of the host vehicle, to the selected rear wheel of the host vehicle when the parking space size is less than a size threshold. The method also includes applying a second braking force to the selected rear wheel of the host vehicle when the parking space size is greater than or equal to the size threshold. The second braking force is less than the first braking force.

Abstract: A parking assist apparatus (13) has: a learning device (131) configured to perform a learning operation for learning, as a target parking position, a position in which a vehicle is parked when the vehicle is parked by a driver's operation; and an assisting device (132) configured to perform a parking assist operation for automatically parking the vehicle in the target parking position on the basis of a learning result of the learning device, if a predetermined condition that there is a predetermined difference between a position of an occupant during an assist period and a position of an occupant during a learning period is satisfied, the assisting device adjusts the target parking position on the basis of the difference so that it is easier to get out of the vehicle after the parking assist operation is finished, compared to a case where the predetermined condition is not satisfied.

Abstract: A movement control system, a movement control device, and a program capable of generating a path corresponding to a more detailed surrounding environment are provided. A movement control system of an embodiment includes a first map generating unit and a second map generating unit. The first map generating unit generates first map information indicating a distribution of existence states related to a possibility of existence of a physical object on the basis of a position of the physical object measured by a measurement unit. The second map generating unit generates second map information indicating the existence state of the physical object of which a period during which the existence state is maintained up to a current time is within a predetermined period from the first map information.

Abstract: A monitoring target management unit specifies a monitoring target based on vehicle peripheral information acquired from a vehicle exterior image sensor mounted on a vehicle. A display controller highlights the monitoring target specified by the monitoring target management unit. An operation signal input unit receives a user input for updating the monitoring target specified by the monitoring target management unit. The monitoring target management unit updates a monitoring target when the operation signal input unit receives a user input.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving semantic map data, via a processor, wherein the semantic map data includes traffic light location data, calculating route data using the semantic map data, via a processor; viewing, via a sensing device, a traffic light and assessing a state of the viewed traffic light, via a processor, based on the traffic light location data, and controlling driving of an autonomous vehicle based at least on the route data and the state of the traffic light, via a processor.